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Segmentation of vessels in angiograms using...
Journal article

Segmentation of vessels in angiograms using convolutional neural networks

Abstract

Coronary artery disease (CAD) is the most common type of heart disease and it is the leading cause of death in most parts of the world. About fifty percent of all middle-aged men and thirty percent of all middle-aged women in North America develop some type of CAD. The main tool for diagnosis of CAD is the X-ray angiography. Usually these images lack high quality and they contain noise. Accurate segmentation of vessels in these images could …

Authors

Nasr-Esfahani E; Karimi N; Jafari MH; Soroushmehr SMR; Samavi S; Nallamothu BK; Najarian K

Journal

Biomedical Signal Processing and Control, Vol. 40, , pp. 240–251

Publisher

Elsevier

Publication Date

2 2018

DOI

10.1016/j.bspc.2017.09.012

ISSN

1746-8094